SOTAVerified

Motion Forecasting

Motion forecasting is the task of predicting the location of a tracked object in the future

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 161–170 of 205 papers

TitleStatusHype
One More Check: Making "Fake Background" Be Tracked Again—0
Learning to Predict Vehicle Trajectories with Model-based Planning—0
TPCN: Temporal Point Cloud Networks for Motion Forecasting—0
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction—0
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting—0
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving—0
Diverse Complexity Measures for Dataset Curation in Self-driving—0
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WSTbrier-minFDE (K=6)26.41—Unverified
2BaseballBrobrier-minFDE (K=6)24.35—Unverified
3Constant velocity map priorbrier-minFDE (K=6)23.39—Unverified
4DQSbrier-minFDE (K=6)12.88—Unverified
5xjtub09brier-minFDE (K=6)11.46—Unverified
6suubrier-minFDE (K=6)9.51—Unverified
7yellowtaxibrier-minFDE (K=6)8.86—Unverified
8Online_CLbrier-minFDE (K=6)8.75—Unverified
9RuShengbrier-minFDE (K=6)8.38—Unverified
10mmmdddbrier-minFDE (K=6)8.26—Unverified